DevOps Kubernetes Engineer
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Job Opening : DevOps Kubernetes Engineer Location : Plano, TX (Onsite) Full Time Job descriptionDesign, build, and operate large-scale data platforms powered by Apache AirflowManage and optimize hundreds to thousands of DAGs with high task throughputDrive platform reliability, scalability, and performance improvementsOwn end-to-end lifecycle: deployment, monitoring, incident response, and roadmap executionCollaborate with cross-functional teams to enable robust, secure, and efficient data workflowsStrong hands-on experience with DAG design, testing & idempotencyDeep knowledge of sensors, deferrable operators, dynamic task mapping, SLAs, retries, backfillsExperience with cross-DAG dependencies, task groups, datasets, pools, and queuesExperience running Airflow on Kubernetes (Helm, autoscaling, tuning)Understanding of network policies, PDBs, and deployment strategies (blue-green / canary)Automation-first mindset with Terraform, Helm, GitOps (Argo CD / Flux), CI/CDStrong Python skills for DAGs, operators, and utilitiesFamiliarity with Bash; exposure to Go or Java is a plusHands-on with Prometheus, Grafana, StatsD, and logging systemsExperience with capacity planning, performance tuning, and reliability practicesExperience with Azure (preferred) or any major cloudExposure to Snowflake, BigQuery, Redshift, Databricks, Spark, EMR/DataprocSolid understanding of IAM, VPC networking, and storage (S3/GCS/ADLS)Knowledge of SSO/OIDC, RBAC, secrets management (Vault/Secrets Manager)Strong focus on auditing, least privilege, and governance